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The Role of Data and Forks in the Road"},"references":{"count":19,"internal_anchors":1,"resolved_work":19,"sample":[{"cited_arxiv_id":"2110.14168","doi":"10.1038/s41586-025-09422-z","is_internal_anchor":true,"ref_index":1,"title":"Training Verifiers to Solve Math Word Problems","work_id":"acab1aa8-b4d6-40e0-a3ee-25341701dca2","year":2021},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":2,"title":"Substitutep=l+7 into the target expression, yieldings=l+18","work_id":"2e758a34-c102-4f90-b378-c27e479f1674","year":null},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":3,"title":"Substitutel=m+5 into the target expression, yieldings=m+23","work_id":"ab49658f-2a2f-4199-a457-12ca2d68223d","year":null},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":4,"title":"Substitutem=f+9 into the target expression, yieldings=f+32","work_id":"536dd746-212d-446f-99d1-bd89c04145cc","year":null},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":5,"title":"Substitutef=g+11 into the target expression, yieldings=g+43","work_id":"0164f060-f692-44ca-a74f-c3eadd23e986","year":null}],"snapshot_sha256":"19342224d08837088c7bbe151169a74f4f89bce03a87e0ace330765a72fd7108"},"source":{"id":"2605.17026","kind":"arxiv","version":1},"verdict":{"created_at":"2026-05-19T20:28:40.256953Z","id":"4e675cf6-3703-446b-a1ff-9b7bc3112c4e","model_set":{"reader":"grok-4.3"},"one_line_summary":"Coverage shrinkage after SFT in reasoning models correlates with prevalence of decision-point scenarios in data and can be partially mitigated by targeted data synthesis and diversity-aware decoding.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"Fine-tuning data with ambiguous decision points causes reasoning models to lose coverage.","strongest_claim":"We hypothesize that this behavior is driven by properties of the fine-tuning data, specifically related to decision points or 'forks in the road' scenarios where model faces indecipherable patterns with multiple valid reasoning paths.","weakest_assumption":"The controlled case studies using graph branching and reasoning modes accurately capture the decision-point dynamics present in real fine-tuning datasets for reasoning models."}},"verdict_id":"4e675cf6-3703-446b-a1ff-9b7bc3112c4e"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:4220a5b5e383e78b01cc6bdd026acc6b448f0239d849428c1f7e94e103316bb6","target":"record","created_at":"2026-05-20T00:03:36Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"d14dbf0a3b6d1cbe75b6f97fc24d666061829bdaafd3036adf4687a76ca40ddb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-16T14:55:12Z","title_canon_sha256":"d7a0d58a5af3dcdca97a65fc5a3285d611baf18f0803c7355c6a7bf183dc665c"},"schema_version":"1.0","source":{"id":"2605.17026","kind":"arxiv","version":1}},"canonical_sha256":"a0d6501b41f839eb6cff58751a087b1f00e1514d87ce92f330b0564b43cfde37","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a0d6501b41f839eb6cff58751a087b1f00e1514d87ce92f330b0564b43cfde37","first_computed_at":"2026-05-20T00:03:36.598466Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:03:36.598466Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tgzPH6hd7eVC53evFp6vbTy1jPlyouVENFd3IXPMGYLnu6rFA113vcsES34/hK4ff5AyySIRL+4Me6yMAeR7DQ==","signature_status":"signed_v1","signed_at":"2026-05-20T00:03:36.599256Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.17026","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4220a5b5e383e78b01cc6bdd026acc6b448f0239d849428c1f7e94e103316bb6","sha256:82de3fb0f9a15ce3d9750a0671acb37b3c14c1891444183b4a1f92f19e47adb0"],"state_sha256":"53ca4de0ec2726fa548d19904426c03aaf5e63167a087060d174e73622bc5c87"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vM1WDzswno46lIMD7/dwvDLThyteqDII2Nl7cXv99oG3o3ce55C79vmkpPuVWu88XeLzJWRCf1Gg8yiB9ZCfBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T12:41:11.650191Z","bundle_sha256":"abdaf59f5aea74dd6f5422238259ed9dc0471584bd801cf1dcd519bb21b0be7b"}}